Robert Sellers
Founder, KAiM Inc.
Robert Sellers brings over two decades of enterprise technology leadership to the challenge of AI governance. His experience spans Fortune 500 implementations, regulatory compliance frameworks, and the practical realities of making technology work in complex organizations.
After years of watching mid-market companies struggle to apply enterprise-scale AI governance frameworks, Robert founded KAiM to bridge that gap. The mission is simple: bring practical, right-sized AI governance to companies that need enterprise-grade thinking without enterprise-grade overhead.
The Mid-Market Challenge
Mid-market companies face a unique challenge with AI governance. They have the same regulatory pressures and data responsibilities as larger enterprises, but without the armies of specialists to manage them. Most existing frameworks are either too lightweight (leaving real risks unaddressed) or too heavy (requiring resources mid-market companies simply don't have).
AI Data Governance takes a different approach. We start with enterprise-proven frameworks and adapt them to mid-market realities. The result is governance that actually works: comprehensive enough to satisfy regulators and auditors, practical enough to implement with existing teams.
Our Approach
We believe effective AI governance shares three characteristics:
- Practical over theoretical. Every recommendation must be implementable with the resources you have, not the resources you wish you had.
- Risk-proportionate. Governance intensity should match actual risk. Not every AI application needs the same level of oversight.
- Business-enabling. Good governance accelerates AI adoption by building the trust needed to move forward confidently.
Industries We Serve
Our work focuses on regulated and complex industries where AI governance isn't optional:
- Utilities & Energy — Power companies, energy providers, and critical infrastructure operators navigating AI under NERC CIP and evolving grid modernization requirements
- Financial Services — Banks, credit unions, insurance companies, and investment firms managing AI under regulatory scrutiny from the Fed, OCC, and state regulators
- Telecommunications — Network operators, service providers, and communications companies applying AI to operations while managing FCC compliance and data privacy requirements
- Technology — Semiconductor, hardware, and enterprise technology companies building AI governance into product development and manufacturing operations
Ready to Talk?
If you're a mid-market leader grappling with AI governance, let's have a conversation about what practical governance could look like for your organization.